https://www.db-thueringen.de/receive/dbt_mods_00057804https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00061322/ilm1-2023100033_413-422.pdfhttps://www.db-thueringen.de/rsc/thumbnail/dbt_mods_00057804.png article 413 422 text conference_publication 20. ASIM Fachtagung Simulation in Produktion und Logistik 2023 Bergmann, Sören edt Editor 1046204483 Bergmann Sören Feldkamp, Niclas edt Editor 1196232792 Feldkamp Niclas 10.22032/dbt.57476 Souren, Rainer edt Editor 120635275 Souren Rainer Straßburger, Steffen edt Editor 123575877 Straßburger Steffen ASIM Fachtagung Simulation in Produktion und Logistik ; 20 (Ilmenau) : 2023.09. ASIM Fachtagung Simulation in Produktion und Logistik ; 20 (Ilmenau) : 2023.09. 2023-09-13 Ilmenau Universitätsverlag Ilmenau de 650 his Host institution 2023-09-04 498 Seiten urn:nbn:de:gbv:ilm1-2023100033 978-3-86360-276-5 Produktion Logistik Simulation text article Iterative optimierungsbasierte Simulation in der Praxis – Simulation der Oberflächenveredelung der Salzgitter Flachstahl GmbH Iterative optimization-based simulation in practice – simulation of the surface finishing at Salzgitter Flachstahl GmbH 10.22032/dbt.57804 Oetjegerdes, Patrick aut Author Oetjegerdes Patrick Weckenborg, Christian aut Author Weckenborg Christian Spengler, Thomas S. aut Author Spengler Thomas S. Vogeler, Udo aut Author Vogeler Udo Molzberger, Mike aut Author Molzberger Mike de 650 his Host institution 10 Seiten Produktion Logistik Simulation The Salzgitter Flachstahl GmbH plans a shift in their production program, which might require adaptions in the logistics. A discrete event simulation model is used to evaluate the impact of the new production program on logistics and the effects of various adaptations. In practice, however, optimization algorithms are applied in this system to facilitate resource planning, e.g., for loading train wagons or crane scheduling. To develop a valid production system model, it was necessary to implement optimization algorithms directly within the simulation and execute them iteratively during the simulation run. Using this approach, different adaptions of the logistic system could be evaluated. The approach to implementing iterative optimization-based simulation in practice and the lessons learned are reported. Ilmenau Universitätsverlag Ilmenau 2023-09-13 2023-09-05 dbt_mods_00057804https://www.db-thueringen.de/receive/dbt_mods_00057804